On this page
TL;DR:
- Standard vendor checks still apply, registration, tax compliance, references, but a few extra checks specific to AI training catch what a generic checklist misses.
- Confirm content is genuinely customised by department, not one deck delivered to everyone.
- Confirm data-handling guidance is a named module in the curriculum, not an assumed footnote.
- Check what post-training support looks like, and ask references what actually changed, not just how the day went.
Company and compliance basics
The standard procurement checks still apply and still matter: registered company status, tax compliance, references from past clients, and clear terms. Skipping these for an AI provider because the category feels new is a mistake worth avoiding.
Content and customisation
Ask to see, not just hear about, how the provider customises content by role and department, rather than delivering one generic session to everyone. A provider who cannot show a sample of role-differentiated content is likely delivering the same deck to every client.
Data handling built into the curriculum
Confirm explicitly that the training includes guidance on what staff should and should not input into AI tools, specific to your organisation's data sensitivity. This should be a named module in the proposal, not an assumed footnote.
Delivery format that fits your team
On-site versus online, single-day versus multi-day, weekday versus weekend, these practical choices affect attendance and follow-through more than they get credit for. Confirm the provider can flex to your team's actual schedule rather than their preferred format.
Post-training support
Check what happens after the session: a usage policy template, a follow-up call, a named point of contact. Providers who stop at the workshop door are common; providers who plan for the weeks after are the ones worth paying more for.
Measurable outcomes
Ask the provider what change they expect to see afterwards, and how that will be checked. "Staff felt the session was useful" is a satisfaction score, not a business outcome. A credible provider can describe what staff should be able to do differently a month later.
References that speak to outcomes, not just attendance
When checking references, ask past clients what actually changed after the training, not just whether the session ran smoothly on the day.
Where FuKazee fits in
FuKazee is a registered Kenyan company delivering practical, role-based AI training for organisations across sectors, built to hold up against a proper procurement checklist, not just a good pitch. See our vendor information page for registration details, or email lead@fukazee.com with your specific requirements.
Want guided support instead?
Plan AI training around your team's real work. Answer a few quick questions about your sector, team size and goals, and we will recommend the right programme and format. Sessions are built on your workflows and include a usage policy.





